iPhone 13 Pro Max
Geekbench AI Score
3191
Single Precision Score
5667
Half Precision Score
4605
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 06:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2430
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6068
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
13962
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11665
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2707
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3084
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5167
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10428
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7321
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17133
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27313
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22822
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3831
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6639
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6500
112.3 IPS |
